{"id":"https://openalex.org/W4389476228","doi":"https://doi.org/10.1145/3613424.3623771","title":"SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices","display_name":"SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4389476228","doi":"https://doi.org/10.1145/3613424.3623771"},"language":"en","primary_location":{"id":"doi:10.1145/3613424.3623771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3623771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3623771","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101633365","display_name":"Zhengang Li","orcid":"https://orcid.org/0000-0001-6644-4761"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengang Li","raw_affiliation_strings":["Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007300551","display_name":"Geng Yuan","orcid":"https://orcid.org/0000-0001-9844-992X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geng Yuan","raw_affiliation_strings":["Northeastern University, United States of America"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States of America","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037760975","display_name":"Tomoharu Yamauchi","orcid":"https://orcid.org/0000-0003-2644-5270"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoharu Yamauchi","raw_affiliation_strings":["Tokyo City University, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo City University, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013347279","display_name":"Masoud Zabihi","orcid":"https://orcid.org/0000-0003-1916-901X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zabihi Masoud","raw_affiliation_strings":["Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784101","display_name":"Yanyue Xie","orcid":"https://orcid.org/0000-0002-4325-521X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanyue Xie","raw_affiliation_strings":["Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089349472","display_name":"Peiyan Dong","orcid":"https://orcid.org/0000-0001-5287-5149"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peiyan Dong","raw_affiliation_strings":["Northeastern University, United States of America"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States of America","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087859795","display_name":"Xulong Tang","orcid":"https://orcid.org/0000-0002-3385-2053"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xulong Tang","raw_affiliation_strings":["University of Pittsburgh, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, United States of America","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089936222","display_name":"Nobuyuki Yoshikawa","orcid":"https://orcid.org/0000-0001-6191-6715"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Yoshikawa","raw_affiliation_strings":["Yokohama National University, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074406596","display_name":"Devesh Tiwari","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Devesh Tiwari","raw_affiliation_strings":["Northeastern University, United States of America"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States of America","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeastern University, United States of America"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States of America","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049723281","display_name":"Olivia Chen","orcid":"https://orcid.org/0000-0002-2208-0262"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Olivia Chen","raw_affiliation_strings":["Tokyo City University, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo City University, Japan","institution_ids":["https://openalex.org/I185088104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5101633365"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.6465,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69300835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5362479090690613},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.48515138030052185},{"id":"https://openalex.org/keywords/rapid-single-flux-quantum","display_name":"Rapid single flux quantum","score":0.4822333753108978},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.45298346877098083},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.43527644872665405},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4022788405418396},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3514888882637024},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3460044264793396},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3419300317764282},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28438326716423035},{"id":"https://openalex.org/keywords/josephson-effect","display_name":"Josephson effect","score":0.26107972860336304},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.20386534929275513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16102033853530884},{"id":"https://openalex.org/keywords/superconductivity","display_name":"Superconductivity","score":0.1518697738647461},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.13152030110359192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5362479090690613},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.48515138030052185},{"id":"https://openalex.org/C150206757","wikidata":"https://www.wikidata.org/wiki/Q7294230","display_name":"Rapid single flux quantum","level":4,"score":0.4822333753108978},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.45298346877098083},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.43527644872665405},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4022788405418396},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3514888882637024},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3460044264793396},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3419300317764282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28438326716423035},{"id":"https://openalex.org/C12038964","wikidata":"https://www.wikidata.org/wiki/Q764228","display_name":"Josephson effect","level":3,"score":0.26107972860336304},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.20386534929275513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16102033853530884},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.1518697738647461},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.13152030110359192},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3613424.3623771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3623771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3613424.3623771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3623771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G2949603753","display_name":"FET: SHF: Small: Collaborative: Advanced Circuits, Architectures and Design Automation Technologies for Energy-efficient Single Flux Quantum Logic","funder_award_id":"2008514","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G380655842","display_name":null,"funder_award_id":"CCF-2124453","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5152676982","display_name":null,"funder_award_id":"CCF-2008514","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5518604981","display_name":null,"funder_award_id":"PREST","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G7908055531","display_name":null,"funder_award_id":"2124453","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389476228.pdf","grobid_xml":"https://content.openalex.org/works/W4389476228.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1500616377","https://openalex.org/W1910760595","https://openalex.org/W1974638538","https://openalex.org/W1993795023","https://openalex.org/W1994616650","https://openalex.org/W2048266589","https://openalex.org/W2070992435","https://openalex.org/W2072434547","https://openalex.org/W2093050433","https://openalex.org/W2101765144","https://openalex.org/W2108598243","https://openalex.org/W2113535733","https://openalex.org/W2137123677","https://openalex.org/W2165889762","https://openalex.org/W2300242332","https://openalex.org/W2583281921","https://openalex.org/W2739789140","https://openalex.org/W2887447938","https://openalex.org/W2911173308","https://openalex.org/W2913104037","https://openalex.org/W2913159446","https://openalex.org/W2920909449","https://openalex.org/W2945528538","https://openalex.org/W2952257392","https://openalex.org/W2982644126","https://openalex.org/W2999803881","https://openalex.org/W3004061291","https://openalex.org/W3005859455","https://openalex.org/W3022465081","https://openalex.org/W3102271837","https://openalex.org/W3104151879","https://openalex.org/W3112241772","https://openalex.org/W3123829282","https://openalex.org/W3129977055","https://openalex.org/W3154657730","https://openalex.org/W3183264033","https://openalex.org/W3186478821","https://openalex.org/W3195461290","https://openalex.org/W3212690680","https://openalex.org/W3217698806","https://openalex.org/W4200595470","https://openalex.org/W4200599750","https://openalex.org/W4225755231","https://openalex.org/W4289726879","https://openalex.org/W4313152865","https://openalex.org/W4317793302","https://openalex.org/W4318685197","https://openalex.org/W4319780662","https://openalex.org/W4385975642"],"related_works":["https://openalex.org/W814378898","https://openalex.org/W2114184213","https://openalex.org/W2991739378","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044","https://openalex.org/W4307927141","https://openalex.org/W3159906349"],"abstract_inverted_index":{"Adiabatic":[0],"Quantum-Flux-Parametron":[1],"(AQFP)":[2],"is":[3],"a":[4,59,84,136,142,168,255],"superconducting":[5,227],"logic":[6,21],"with":[7,158,217,264],"extremely":[8],"high":[9],"energy":[10,237,277],"efficiency.":[11,278],"By":[12],"employing":[13],"the":[14,55,81,93,97,102,112,116,126,152,159,193,201,249],"distinct":[15],"polarity":[16],"of":[17,96,104,162,181,239,248,258,274],"current":[18,108,113],"to":[19,78,198],"denote":[20],"\u20180\u2019":[22],"and":[23,100,129,141,192,212,226],"\u20181\u2019,":[24],"AQFP":[25,82,98,163],"devices":[26,83,99],"serve":[27],"as":[28],"excellent":[29],"carriers":[30],"for":[31,87,119],"binary":[32],"neural":[33],"network":[34,213],"(BNN)":[35],"computations.":[36],"Although":[37],"recent":[38],"research":[39],"has":[40],"made":[41],"initial":[42],"strides":[43],"toward":[44],"developing":[45],"an":[46,68,236],"AQFP-based":[47,69],"BNN":[48,71,88,122,153,171,251],"accelerator,":[49],"several":[50],"critical":[51],"challenges":[52],"remain,":[53],"preventing":[54],"design":[56,234],"from":[57],"being":[58],"comprehensive":[60],"solution.":[61],"In":[62,184],"this":[63],"paper,":[64],"we":[65,91,134,165,186],"propose":[66,135,167,187],"SupeRBNN,":[67],"randomized":[70,94,170],"acceleration":[72],"framework":[73,208,252,268],"that":[74,155,174,232,247],"leverages":[75],"software-hardware":[76],"co-optimization":[77],"eventually":[79],"make":[80],"feasible":[85],"solution":[86,173],"acceleration.":[89],"Specifically,":[90],"investigate":[92],"behavior":[95],"analyze":[101],"impact":[103],"crossbar":[105],"size":[106],"on":[107,220],"attenuation,":[109],"subsequently":[110],"formulating":[111],"amplitude":[114],"into":[115],"values":[117],"suitable":[118],"use":[120],"in":[121],"computation.":[123],"To":[124,149],"tackle":[125],"accumulation":[127,139],"problem":[128],"improve":[130,200],"overall":[131,202],"hardware":[132,182],"performance,":[133],"stochastic":[137],"computing-based":[138],"module":[140],"clocking":[143],"scheme":[144],"adjustment-based":[145],"circuit":[146],"optimization":[147,180],"method.":[148],"effectively":[150],"train":[151],"models":[154],"are":[156],"compatible":[157],"distinctive":[160],"characteristics":[161],"devices,":[164],"further":[166,199],"novel":[169],"training":[172],"utilizes":[175],"algorithm-hardware":[176],"co-optimization,":[177],"enabling":[178],"simultaneous":[179],"configurations.":[183],"addition,":[185],"implementing":[188],"batch":[189],"normalization":[190],"matching":[191],"weight":[194],"rectified":[195],"clamp":[196],"method":[197],"performance.":[203],"We":[204],"validate":[205],"our":[206,233,267],"SupeRBNN":[207],"across":[209],"various":[210],"datasets":[211],"architectures,":[214],"comparing":[215],"it":[216],"implementations":[218],"based":[219],"different":[221],"technologies,":[222],"including":[223],"CMOS,":[224],"ReRAM,":[225],"RSFQ/ERSFQ.":[228],"Experimental":[229],"results":[230],"demonstrate":[231],"achieves":[235],"efficiency":[238],"approximately":[240],"7.8":[241],"\u00d7":[242],"104":[243],"times":[244],"higher":[245,276],"than":[246],"ReRAM-based":[250],"while":[253],"maintaining":[254],"similar":[256],"level":[257],"model":[259],"accuracy.":[260],"Furthermore,":[261],"when":[262],"compared":[263],"superconductor-based":[265],"counterparts,":[266],"demonstrates":[269],"at":[270],"least":[271],"two":[272],"orders":[273],"magnitude":[275]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
